El Salvador - Humanitarian Data Exchange

LAC Region (tri-National): Acute Food Insecurity Country Data

Integrated Food Security Phase Classification (IPC)

50+ Downloads

Time Period of the Dataset [?]: February 01, 2018-August 31, 2022 ... More

This dataset updates: Never

This dataset is part of the data series [?]: IPC - Acute Food Insecurity Classification

The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2018. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.

XLSX

El Salvador - Historical Health Indicators

World Health Organization

Time Period of the Dataset [?]: January 01, 1961-December 31, 2025 ... More

This dataset updates: Never

This dataset contains historical data from WHO's data portal.

CSV

El Salvador : Operational Presence

OCHA Latin America and the Caribbean (ROLAC)

Time Period of the Dataset [?]: March 25, 2020-August 23, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: OCHA Latin America and the Caribbean- Operational Presence 3W

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations.

CSV

UN Collective Results on the COVID-19 Socioeconomic Response in 2020

United Nations Development Coordination Office (inactive)

300+ Downloads

Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More

This dataset updates: Never

Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.

XLSX

Satellite detected water extents between the 13th and the 17th November 2020...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: November 18, 2020-November 18, 2020 ... More

This dataset updates: Never

UNOSAT code: TC20201118SLV This map illustrates satellite-detected surface waters (cumulative) in El Salvador as detected by VIIRS-NOAA satellite between 13th & 17th November 2020. Within the analyzed area of about 20,000 km2, a total of about 440 km2 of lands appear to be flooded. Based on HRSL population data and the detected surface waters, about 44,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the departments of Usulutan with ~9,000 people, La Union with ~8,500 people, and Santa Ana with ~7,500 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Daily Summaries of Precipitation Indicators for El Salvador

HDX

60+ Downloads

Time Period of the Dataset [?]: December 23, 2015-December 23, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Daily Summaries of Precipitation Indicators

This dataset contains the daily summaries on base stations across El Salvador. The four indicators included are: * TPCP: Total precipitation * MXSD: Maximum snow depth * TSNW: Total snow fall * EMXP: Extreme maximum daily precipitation Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions. This dataset contains the latest 5 years of available data.

CSV

El salvador - Demographic, Health, Education and Transport indicators

United Nations Human Settlement Programmes, Data and Analytics Section

80+ Downloads

Time Period of the Dataset [?]: January 01, 1950-December 31, 2050 ... More

This dataset updates: Never

This dataset is part of the data series [?]: United Nations Human Settlement Programmes, Global Urban Observatory - Demographic, Health, Education and Transport indicators

The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.

CSV

El Salvador - Who is Doing What Where (3W)

OCHA Latin America and the Caribbean (ROLAC)

100+ Downloads

Time Period of the Dataset [?]: June 18, 2018-June 18, 2018 ... More

This dataset updates: Never

This dataset is part of the data series [?]: OCHA Latin America and the Caribbean- Operational Presence 3W

Who is Doing What Where (3W) in the El Salvador operational presence.

CSV
XLSX

Global - Epidemiological update on Zika Virus

International Federation of Red Cross and Red Crescent Societies (IFRC)

200+ Downloads

Time Period of the Dataset [?]: September 13, 2016-September 13, 2016 ... More

This dataset updates: Never

This data is a global overview on Zika Virus.

XLSX

GAR15 Global Exposure Dataset for El Salvador

United Nations Office for Disaster Risk Reduction (UNDRR)

60+ Downloads

Time Period of the Dataset [?]: December 31, 2015-December 31, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNDRR - GAR15 Global Exposure

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

SHP

WFP and FAO Overview of Countries Affected by the El Niño

HDX

100+ Downloads

Time Period of the Dataset [?]: April 21, 2016-April 21, 2016 ... More

This dataset updates: Never

This dataset contains a list of the countries affected by the El Niño as at April 21, 2016 as reported jointly by FAO, the Global Food Security Cluster and WFP on 21 April 2016 in the 2015-2016 El Niño: WFP and FAO Overview update. According to the World Bank, El Niño is likely to have a negative impact in more isolated local food markets, and many countries are already facing increased food prices. Food Security Cluster partners have implemented preparedness activities and are responding in countries where the effects of El Niño have materialised, such as Ethiopia, Papua New Guinea, Malawi and throughout Central America. In Southern Africa, many areas have seen the driest October-December period since at least 1981, and some 14 million people in the region are already facing hunger, which adds to fears of a spike in the numbers of the food insecure later this year through 2017.

CSV
GeoJSON

Censo de Poblacion de El Salvador 1950 a 2007 - Población por edad simple

OCHA Latin America and the Caribbean (ROLAC)

100+ Downloads

Time Period of the Dataset [?]: January 02, 1950-December 31, 2007 ... More

This dataset updates: Never

Censo de Población y Vivienda de los datos globales desde 1950 a 2007, que determinan la cantidad de habitantes (hombre, mujeres) de todo el país.

XLSX

Food Insecurity Mapping - Central America and The Caribbean (January - March 2013)

HDX

10+ Downloads

Time Period of the Dataset [?]: January 01, 2013-January 01, 2013 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Food Insecurity Mapping

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on January 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201304_ML1 Most likely food security outcome for January-March 2013 xx201304_ML2 Most likely food security outcome for April-June 2013 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

SHP

Food Insecurity Mapping - Central America and The Caribbean (April - June 2013)

HDX

Time Period of the Dataset [?]: April 01, 2013-April 01, 2013 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Food Insecurity Mapping

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on May 15, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for April-June 2013 LAC201304_ML2 Most likely food security outcome for July-September 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

SHP

Food Insecurity Mapping - Central America and The Caribbean (July - September 2013)

HDX

Time Period of the Dataset [?]: July 01, 2013-July 01, 2013 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Food Insecurity Mapping

This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on July 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: EA201304_ML1 Most likely food security outcome for October-December 2014 EA201304_ML2 Most likely food security outcome for January-March 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

SHP

Food Insecurity Mapping - Central America and The Caribbean (October - December 2013)

HDX

Time Period of the Dataset [?]: October 01, 2013-October 01, 2013 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Food Insecurity Mapping

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on November 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201304_ML1 Most likely food security outcome for October-December 2013 xx201304_ML2 Most likely food security outcome for January-March 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

SHP

Food Insecurity Mapping - Central America and The Caribbean (January - March 2014)

HDX

Time Period of the Dataset [?]: January 01, 2014-January 01, 2014 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Food Insecurity Mapping

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on January 19, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201401_ML1 Most likely food security outcome for January-March 2014 xx201401_ML2 Most likely food security outcome for April-June 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

SHP

Food Insecurity Mapping - Central America and The Caribbean (April - June 2014)

HDX

Time Period of the Dataset [?]: April 01, 2014-April 01, 2014 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Food Insecurity Mapping

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on April 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201404_ML1 Most likely food security outcome for April-June 2014 xx201404_ML2 Most likely food security outcome for July-September 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

SHP

Food Insecurity Mapping - Central America and The Caribbean (July - September 2014)

HDX

Time Period of the Dataset [?]: July 01, 2014-July 01, 2014 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Food Insecurity Mapping

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on September 30, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for July-September 2014 LAC201304_ML2 Most likely food security outcome for October-December 2014 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

SHP

Food Insecurity Mapping - Central America and The Caribbean (October - December 2014)

HDX

Time Period of the Dataset [?]: October 01, 2015-October 01, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Food Insecurity Mapping

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on November 13, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for October-December 2014 LAC201304_ML2 Most likely food security outcome for January-March 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

SHP

Food Insecurity Mapping - Central America and The Caribbean (January - March 2015)

HDX

Time Period of the Dataset [?]: March 31, 2015-March 31, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Food Insecurity Mapping

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on March 31, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for January-March 2015 LAC201304_ML2 Most likely food security outcome for April-June 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

SHP

Food Insecurity Mapping - Central America and The Caribbean (July - September 2015)

HDX

Time Period of the Dataset [?]: October 08, 2015-October 08, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Food Insecurity Mapping

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on October 08, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for July-September 2015 LAC201304_ML2 Most likely food security outcome for October-December 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

SHP

Food Insecurity Mapping - Central America and The Caribbean (April - June 2015)

HDX

Time Period of the Dataset [?]: July 01, 2015-July 01, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Food Insecurity Mapping

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on July 01, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for April-June 2015 LAC201304_ML2 Most likely food security outcome for July-September 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

SHP